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Jian Gao (高 见)

Postdoctoral Research Fellow

Center for Science of Science and Innovation (CSSI)
Kellogg School of Management
Northwestern University, USA
600 Foster Street, Evanston, IL 60208, USA

Email: jian.gao1 (TheSymbol) northwestern (dot) edu
Email: gaojian08 (TheSymbol) hotmail (dot) com

Brief Bio

I'm a Postdoctoral Research Fellow in the Center for Science of Science and Innovation (CSSI), Kellogg School of Management, Northwestern University, working with Prof. Dashun Wang. I'm also a Researcher in the Northwestern Institute on Complex Systems (NICO).

I received my Ph.D. in Computer Science from UESTC, under the supervision of Prof. Tao Zhou. Between 2016.08 and 2017.09, I was a Visiting Student in the Collective Learning Group at the MIT Media Lab, Massachusetts Institute of Technology (MIT), hosted by Prof. Cesar A. Hidalgo. I received the Bachelor of Science degree in 2012 from School of Mathematical Sciences, UESTC.

I'm working in the interdisciplinary field named Computational Socioeconomics. My research interests focus on understanding phenomena in social and economic systems through empirical and theoretical analysis. I am interested in studying problems related to Science of Science, Computational Social Science, and Network Science.

View my profiles on Google Scholar, Scopus, ORCID and my peer-review records on Publons or directly download my Curriculum Vitae.

Five Representative Publications

  • Jian Gao, Yi-Cheng Zhang & Tao Zhou. Computational Socioeconomics. Physics Reports, 817: 1-104, 2019. [Link] [Abstract] [PDF]

  • Jian Gao* & Tao Zhou. Quantifying China's regional economic complexity. Physica A, 492: 1591-1603, 2018. [Link] [PDF]

  • Yi Cao, Jian Gao, De-Fu Lian, Zhi-Hai Rong, Jia-Tu Shi, Qing Wang, Yi-Fan Wu, Hua-Xiu Yao & Tao Zhou. Orderness predicts academic performance: Behavioral analysis on campus lifestyle. Journal of the Royal Society Interface, 15: 20180210, 2018. [Link] [PDF] [Data]

  • Jian Gao, Tao Zhou & Yanqing Hu. Bootstrap percolation on spatial networks. Scientific Reports, 5:14662, 2015. [Link] [PDF] [SI]

  • Jian Gao, Yu-Wei Dong, Ming-Sheng Shang, Shi-Min Cai & Tao Zhou. Group-based ranking method for online rating systems with spamming attacks. Europhysics Letters (EPL), 110(2): 28003, 2015. [Link] [PDF]

Academic Positions

  • Northwestern University                                                                               2019.09 - Present
    Postdoctoral Research Fellow                                                                              Evanston, USA
    Kellogg School of Management, CSSI & NICO
    Working with Prof. Dashun Wang

  • Massachusetts Institute of Technology                                                   2016.09 - 2017.09
    Research Assistant                                                                                                  Boston, USA
    Collective Learning Group, The MIT Media Lab
    Working with Prof. Cesar A. Hidalgo

  • Boston University                                                                                               2016.02 - 2016.04
    Visiting Scholar                                                                                                        Boston, USA
    Center for Polymer Studies, Department of Physics
    Working with Prof. H. Eugene Stanley

  • University of Electronic Science and Technology of China           2014.09 - 2019.07
    Research Assistant                                                                                                  Chengdu, China
    CompleX Lab, Web Sciences Center
    Working with Prof. Tao Zhou

  • University of Electronic Science and Technology of China           2012.09 - 2014.08
    Research Assistant                                                                                                  Chengdu, China
    School of Computer Science and Engineering
    Working with Prof. Ming-Sheng Shang

Education

  • University of Electronic Science and Technology of China           2014.09 - 2019.07
    Ph.D. in Computer Science                                                                                   Chengdu, China
    School of Computer Science and Engineering
    Adviser: Prof. Tao Zhou

  • University of Electronic Science and Technology of China            2012.09 - 2014.06
    Master in Computer Science                                                                                 Chengdu, China
    School of Computer Science and Engineering
    Adviser: Prof. Tao Zhou

  • University of Electronic Science and Technology of China            2008.09 - 2012.06
    Bachelor of Science in Information and Computational Science                 Chengdu, China
    School of Mathematical Sciences

Publications (Full List)

Review Papers

  • Jian Gao, Yi-Cheng Zhang & Tao Zhou. Computational Socioeconomics. Physics Reports, 817: 1-104, 2019. [Link] [Abstract] [PDF]

  • Jian Gao & T Zhou. Big data reveal the status of economic development. Journal of UESTC, 45(4): 625-633, 2016. In Chinese. [Link] [PDF]

  • Wei-Jie You, Jian Gao & Tao Zhou. Application of carrier data on precise poverty alleviation and emergency management. Journal of UESTC (Social Sciences Edition), 20(6): 83-88, 2018. In Chinese. [Link] [PDF]

Research Papers

  • Bogang Jun, Aamena Alshamsi, Jian Gao & Cesar A. Hidalgo. Bilateral relatedness: Knowledge diffusion and the evolution of bilateral trade. Journal of Evolutionary Economics. 2019. First Online. [Link] [PDF]

  • Jun Wang, Jian Gao*, Jin-Hu Liu, Dan Yang & Tao Zhou. Regional economic status inference from information flow and talent mobility. Europhysics Letters (EPL). 125(6): 68002, 2019. [Link] [PDF]

  • Jun Wang, Jian Gao, Xiao Yang, Jin-Hu Liu & Tao Zhou. Online data reveal key factors on salary expectation. Journal of UESTC. 48(2): 307-314, 2019. [Link] [PDF]

  • Yi Cao, Jian Gao, De-Fu Lian, Zhi-Hai Rong, Jia-Tu Shi, Qing Wang, Yi-Fan Wu, Hua-Xiu Yao & Tao Zhou. Orderness predicts academic performance: Behavioral analysis on campus lifestyle. Journal of the Royal Society Interface, 15: 20180210, 2018. [Link] [PDF] [Data]

  • Ling-Jiao Chen & Jian Gao*. A trust-based recommendation method using network diffusion processes. Physica A, 506: 679-691, 2018. [Link] [PDF]

  • Xiao Yang, Jian Gao*, Jin-Hu Liu & Tao Zhou. Height conditions salary expectations: Evidence from large-scale data in China. Physica A, 501: 86-97, 2018. [Link] [PDF]

  • Jian Gao* & Tao Zhou. Quantifying China's regional economic complexity. Physica A, 492: 1591-1603, 2018. [Link] [PDF]

  • Jian Gao*. Maximizing the collective learning effects in regional economic development. In: 2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing, IEEE Press, 2017, pp. 337-341. [Link] [PDF].

  • Liming Pan, Lei Gao & Jian Gao. Link prediction in weighted networks via structural perturbations. In: 2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing, IEEE Press, 2017, pp. 5-8. [Link] [PDF].

  • Jian Gao* & Tao Zhou. Evaluating user reputation in online rating systems via an iterative group-based ranking method. Physica A, 473: 546–560, 2017. [Link] [PDF]

  • Ling-Jiao Chen, Zi-Ke Zhang, Jin-Hu Liu, Jian Gao* & Tao Zhou, A vertex similarity index for better personalized recommendation. Physica A. 466: 607–615, 2017. [Link] [PDF]

  • Qing Wang, Jian Gao, Tao Zhou, Zheng Hu & Hui Tian. Critical size of ego communication networks. Europhysics Letters (EPL), 114(5): 58004, 2016. [Link] [PDF]

  • Jia Yuan, Qian-Ming Zhang, Jian Gao, Linyan Zhang, Xue-Song Wan, Xiao-Jun Yu & Tao Zhou. Promotion and resignation in employee networks. Physica A. 444: 442-447, 2016. [Link] [PDF]

  • Jian Gao, Tao Zhou & Yanqing Hu. Bootstrap percolation on spatial networks. Scientific Reports, 5: 14662, 2015. [Link] [PDF] [SI]

  • Jian Gao, Yu-Wei Dong, Ming-Sheng Shang, Shi-Min Cai & Tao Zhou. Group-based ranking method for online rating systems with spamming attacks. Europhysics Letters (EPL), 110(2): 28003, 2015. [Link] [PDF]

  • Linyan Zhang, Jian Gao, Xiang Hong & Tao Zhou. Human resource management based on big data. Big Data Research, 1(1): 2015012, 2015. In Chinese. [Link] [PDF]

  • Dan-Dan Zhao, An Zeng, Ming-Sheng Shang & Jian Gao. Long-term effects of recommendation on the evolution of online systems. Chinese Physics Letters, 30(11): 8901, 2013. [Link] [PDF]

  • Fang-Jian Guo, Jiang Su & Jian Gao. Finding conspirators in the network via machine learning. UMAP Journal, 33(3): 275-292, 2012. (Outstanding Winner, 2012 MCM/ICM) [Link] [PDF]

  • Jian Gao* & Xi-Nan Zhang. Comprehensive scholarship evaluation model in colleges and universities. Journal of Chongqing Technology and Business University (Nat Sci Ed). 29(1): 36-41, 2012. In Chinese. [Link] [PDF]

Book Chapter

  • Yi Cao, Jian Gao & Tao Zhou. Orderliness of campus lifestyle predicts academic performance: A case study in Chinese university. In Digital Phenotyping and Mobile Sensing: New Developments in Psychoinformatics, Harald Baumeister & Christian Montag (Eds). Springer: Berlin, Germany, Ch. 8, pp. 125-137, 2019. [Link] [PDF]

  • Jian Gao, Linyan Zhang, Qian-Ming Zhang & Tao Zhou. Big Data Human Resources: Performance Analysis and Promotion/Resignation in Employee Networks. Social Physics: Social Governance, Beijing: Science Press, Ch 4, 38-56, 2014. In Chinese. [PDF]

Opinion Piece

arXiv Paper

  • Jian Gao, Bogang Jun, Alex “Sandy” Pentland, Tao Zhou & Cesar A. Hidalgo. Collective learning in China's regional economic development. arXiv:1703.01369, 2017. [Link] [PDF].

Working Paper

  • Peer influence and academic performance (with Yi Cao & Tao Zhou). 2020.

  • Vertex similarity in complex networks (with Tao Zhou). 2019.

  • Collective learning in Brazilian economic development (with Bogang Jun, Tao Zhou & Cesar A. Hidalgo). 2017.

Doctoral Dissertation

Academic Presentations

  • 2019-07. Computational Socioeconomics: An Overview. The Complex Science Annual Meeting (Complexity 2019). Invited Talk. Shanghai, China

  • 2019-05. Regional Economic Status Inference From Information Flow and Talent Mobility. The 15th China Networks Science Forum in 2019 (CNetSci 2019). Dalian, China

  • 2018-11. Computational Socioeconomics: Content and Method. AI & Society. Invited Talk. Chengdu, China

  • 2018-08. Computational Socioeconomics: Data-driven Social and Economic Studies. China National Conference on Big Data & Social Computing (BDSC 2018). Shijiazhuang, China

  • 2018-08. Computational Socioeconomics: Big Data Reveals Social and Economic Status. China Conference on Data Mining (CCDM 2018). Jinan, China

  • 2018-01. Evaluating Online Reputation via Group-Based Ranking Methods. International School and Conference on Network Science (NetworkX 2018). Hangzhou, China

  • 2018-01. Collective Learning in Regional Economic Development. International School and Conference on Network Science (NetworkX 2018). Hangzhou, China

  • 2017-05. Collective Learning Contributes Brazilian Industrial Diversification. Collective Learning Group, MIT Media Lab. Boston, USA

  • 2017-04. Collective Learning in Regional Economic Development. AAG 2017-Economic Geography Sessions. Boston, USA

  • 2017-01. Learning in Economic Development: Industrial Similarity & Productivity. Universidad del Desarrollo. Valparaiso, Chile

  • 2016-09. Knowledge Diffusion: Who Can We Learn From?. Macro Connections, MIT Media Lab. Boston, USA

  • 2016-06. Big Data Reveal the Status of Economic Development. CompleX Lab, UESTC. Chengdu, China

  • 2016-03. Mainstay Industrtial Structure of China. Center for Polymer Studies, Boston University. Boston, USA

  • 2015-10. Quantifying Local Industry Structure in China. Southwest University of Science and Technology. Mianyang, China

  • 2015-06. Linking Companies and Economic Complexity. China Inter-Discipline Association for Complex Economy. Yantai, China.

  • 2015-03. Group-based ranking method for online rating systems with spamming attacks. CompleX Lab, UESTC. Chengdu, China

  • 2014-10. Bootstrap percolation on spatial networks. The 10th Chinese Conference on Complex Networks. Changsha, China

Peer Review Services

  • Journal of the Royal Society Interface, Royal Society Publishing

  • Area Development and Policy, Taylor & Francis

  • Marine Policy, Elsevier B.V.

  • Heliyon, Elsevier B.V.

  • PLoS ONE, Public Library of Science

  • Knowledge-Based Systems (KBS), Elsevier B.V.

  • IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE

  • IEEE Access, IEEE

  • International Journal of Modern Physics C (IJMPC), World Scientific Publishing

  • Physica A, Elsevier B.V.

  • Physics Letters A (PLA), Elsevier B.V.

  • Physica Scripta, IOP Publishing

  • Computer Standards and Interfaces (CSI), Elsevier B.V.

  • Journal of Computational Methods in Sciences and Engineering (JCMSE), IOS Press

  • Journal of University of Electronic Science and Technology of China (JUESTC), UESTC

Scholarship

  • 2013-2019  Tang Lixin Scholarship (0.2%), UESTC & Xinshang Group

  • 2016-2017  National Graduate Scholarship, Ministry of Education of China

  • 2016-2017  First-class Graduate Scholarship, UESTC

  • 2016-2017  CSC Scholarship under the State Scholarship Fund, China Scholarship Council

  • 2015-2016  Scholarship of the 32nd Research Institute of CETC (5%), UESTC & CETC

  • 2015-2016  Third-class Graduate Scholarship, UESTC

  • 2014-2015  Entrance Scholarship (10%), UESTC

  • 2013-2014  Second-class Graduate Scholarship (15%), UESTC

  • 2012-2013  Entrance Scholarship (10%), UESTC

  • 2011-2012  National Inspiration Scholarship (5%), Ministry of Education of China

  • 2010-2011  Single Award of People's Scholarship (5%), UESTC

  • 2010-2011  First-class People's Scholarship (10%), UESTC

  • 2009-2010  Single Award of People's Scholarship (5%), UESTC

  • 2009-2010  National Inspiration Scholarship (5%), Ministry of Education of China

Awards

  • 2018  Best Poster Award in the International School and Conference on Network Science
    The NetworkX 2018 Committee

  • 2014  Best Poster Award in the 2nd Conference on Complexity Science
    The Chinese Complexity Science Research Council

  • 2012  Outstanding Winner Award in 2012 Interdisciplinary Contest in Modeling (0.3%)
    COMAP, sponsored by SIAM, MAA, NSA and INFORMS [Board]

  • 2011  Second-class Award in Asia-Pacific Mathematical Contest in Modeling (4.5%)
    MATHOR Network, sponsored by APMMW

  • 2011  Second-class Award in SuBei Mathematical League in Modeling (10%)
    IIAM of Jiangsu Province, sponsored by CUM and IIAM of Xuzhou City

  • 2011  Third-class Award in Online Mathematical Modeling (20%)
    Mathematical Society of Inner Mongolia and madio.net

  • 2010  National Second-class Award in Contemporary Undergraduate Mathematical Contest in Modeling (5%)
    CSIAM, sponsored by COMAP, MathWorks Inc and IBM Inc [Board]

  • 2010  First-class Award in Mathematical Contest in Modeling (1.8%)
    UESTC, sponsored by School of Continuing Education

Honors

  • 2019  Excellent Graduate Student, Education Department in Sichuan

  • 2019  Excellent Graduate Student, UESTC

  • 2015  Outstanding Staff Award of the year, only 3 winners, Hire Big Data (Chengdu), LTD

  • 2013  Deserving Candidate and Outstanding Team at CAS Summer School on Systems Science, China Academic of Science (CAS) & Beijing Normal University

  • 2012  Outstanding Student of the University (0.2%), 10 out of 4,500 undergraduates, Highest honor for undergraduates, UESTC

  • 2012  Outstanding Graduates Awards of the University (5%), UESTC

  • 2011  A-level Certificate of Students’ Comprehensive Ability, Sichuan Youth League

  • 2011  Outstanding Individual on Work-study, the only in our school (1%), UESTC

  • 2011  Excellent Individual in Social Practice of the University (5%), UESTC

  • 2010  Excellent League Cadres of the University (5%), UESTC

  • 2009  Ten Person of the Year - Self-star (2%), School of Mathematical Sciences, UESTC

  • 2009  Excellent Class Cadres (5%), School of Mathematical Sciences, UESTC

  • 2009  Spiritual Civilization Award (5%), School of Mathematical Sciences, UESTC